R
Richard Donald Giuli
Researcher at Apple Inc.
Publications - 9
Citations - 2211
Richard Donald Giuli is an academic researcher from Apple Inc.. The author has contributed to research in topics: Dialog box & Natural language. The author has an hindex of 6, co-authored 9 publications receiving 2211 citations. Previous affiliations of Richard Donald Giuli include SRI International.
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Patent
Intelligent Automated Assistant
Thomas R. Gruber,Adam Cheyer,Dag Kittlaus,Didier Rene Guzzoni,Christopher Dean Brigham,Richard Donald Giuli,Marcello Bastea-Forte,Harry J. Saddler +7 more
TL;DR: In this article, an intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions.
Patent
Active input elicitation by intelligent automated assistant
Thomas R. Gruber,Adam Cheyer,Didier Rene Guzzoni,Christopher Dean Brigham,Richard Donald Giuli,Marcello Bastea-Forte,Harry J. Saddler +6 more
TL;DR: In this article, a user request is received through a conversation interface of the intelligent automated assistant, the user request including at least a speech input received from a user, and feedback is provided to the user through the conversation interface, where the feedback presents a paraphrase of user request and elicits additional input from the user to specify one or more parameters associated with a particular candidate domain.
Patent
Paraphrasing of user requests and results by automated digital assistant
Thomas R. Gruber,Harry J. Saddler,Adam Cheyer,Dag Kittlaus,Christopher Dean Brigham,Richard Donald Giuli,Didier Rene Guzzoni,Marcello Bastea-Forte +7 more
TL;DR: In this article, a user request is received, the user request including at least a speech input received from a user, and an echo of the speech input based on a textual interpretation of the input is presented to the user.
Patent
Better resolution when referencing to concepts
TL;DR: In this paper, a virtual assistant is programmed to refer to shared domain concepts using concept nodes, and a task flow based on the primary user intent and the secondary user intent is generated and performed.
IRIS: integrate. relate. infer. share
TL;DR: A new semantic desktop system called IRIS, an application framework for enabling users to create a -personal map" across their office-related information objects, is introduced.